Back to Search Start Over

Performance of a mixed filter to identify relevant studies for mixed studies reviews

Authors :
Reem El Sherif
Pierre Pluye
Genevieve Gore
Vera Granikov
Quan Nha Hong
Source :
Journal of the Medical Library Association, Vol 104, Iss 1 (2016)
Publication Year :
2016
Publisher :
University Library System, University of Pittsburgh, 2016.

Abstract

Objective: Mixed studies reviews include empirical studies with diverse designs. Given that identifying relevant studies for such reviews is time consuming, a mixed filter was developed. Methods: The filter was used for six journals from three disciplines. For each journal, database records were coded ‘‘empirical’’ (relevant) when they mentioned a research question or objective, data collection, analysis, and results. We measured precision (proportion of retrieved documents being relevant), sensitivity (proportion of relevant documents retrieved), and specificity (proportion of nonrelevant documents not retrieved). Results: Records were coded with and without the filter, and descriptive statistics were performed, suggesting the mixed filter has high sensitivity.

Details

Language :
English
ISSN :
15365050 and 15589439
Volume :
104
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of the Medical Library Association
Publication Type :
Academic Journal
Accession number :
edsdoj.9c150e00396843c887031f315904b370
Document Type :
article